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Author Ortiz-Aguayo, D.; De Wael, K.; del Valle, M. url  doi
openurl 
  Title Voltammetric sensing using an array of modified SPCE coupled with machine learning strategies for the improved identification of opioids in presence of cutting agents Type A1 Journal article
  Year (down) 2021 Publication Journal Of Electroanalytical Chemistry Abbreviated Journal J Electroanal Chem  
  Volume 902 Issue Pages 115770  
  Keywords A1 Journal article; AXES (Antwerp X-ray Analysis, Electrochemistry and Speciation); Antwerp Electrochemical and Analytical Sciences Lab (A-Sense Lab)  
  Abstract This work reports the use of modified screen-printed carbon electrodes (SPCEs) for the identification of three drugs of abuse and two habitual cutting agents, caffeine and paracetamol, combining voltammetric sensing and chemometrics. In order to achieve this goal, codeine, heroin and morphine were subjected to Square Wave Voltammetry (SWV) at pH 7, in order to elucidate their electrochemical fingerprints. The optimized SPCEs electrode array, which have a differentiated response for the three oxidizable compounds, was derived from Carbon, Prussian blue, Cobalt (II) phthalocyanine, Copper (II) oxide, Polypyrrole and Palladium nanoparticles ink-modified carbon electrodes. Finally, Principal Component Analysis (PCA) coupled with Silhouette parameter assessment was used to select the most suitable combination of sensors for identification of drugs of abuse in presence of cutting agents.  
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  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Wos 000714415500006 Publication Date 2021-10-13  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 1572-6657; 1873-2569 ISBN Additional Links UA library record; WoS full record; WoS citing articles  
  Impact Factor 3.012 Times cited Open Access OpenAccess  
  Notes Approved Most recent IF: 3.012  
  Call Number UA @ admin @ c:irua:184018 Serial 8745  
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